We recently published a list of GTC Recap and Beyond: 10 AI Stocks on Investors’ Radar. In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against other AI stocks that are on investors’ radar.
Jensen Huang’s GTC keynote may not have unpacked significant surprises, but his insights and plans reflect his forward-thinking approach.
Together, the announcements and innovations that were revealed at the conference, particularly in areas such as health and autonomous vehicles, demonstrate Nvidia’s commitment to leading the sector in AI and technology.
The company has also outlined a road map for the next three years, and there are significant new products planned every year. This is an aspiring target to achieve.
READ ALSO: 10 AI Stocks You Need to Watch: News & Ratings and 10 AI Stocks Making Waves: GTC Highlights & Beyond
During his keynote, Huang announced new chips for deploying AI models. These are expected to ship in 2026. However, some investors were underwhelmed, with the stock dropping more than 3% on Tuesday.
This has been an unexpected turn for the company, considering the GTC conference has been a positive catalyst for the past few years.
Here is what Jefferies analyst Blayne Curtis noted about the conference.
“The rate of innovation on all fronts continues to impress and suggests a growing moat vs. peers … we were hoping for more proof points for TAM expansion and TCO advantages.”
Meanwhile, Benchmark analyst Cody Acree said in a note to clients:
“Investors’ attitude toward the speech appeared to be somewhat lethargic. Overall, we thought the keynote was about as expected, with Jensen once again providing a masterclass overview of AI.”
Some analyst firms are very optimistic about the stock.
“We have long viewed sovereign AI as an underappreciated driver of demand for AI infrastructure, and our sense coming out of this summit is that there is a long runway of AI infrastructure development ahead.”
-UBS
“With leading silicon (GPU/DPU/CPU), hardware/ software platforms, and a strong ecosystem, the company is well-positioned to benefit from major secular trends in AI, high-performance computing, gaming, and autonomous vehicles, in our view. It continues to remain 1-2 steps ahead of its competitors.”
-JP Morgan Analyst
For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds. The hedge fund data is as of Q4 2024.
Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points (see more details here).
A high-level executive standing at a podium addressing a conference hall filled with C-suite industry leaders.
NVIDIA Corporation (NASDAQ:NVDA)
Number of Hedge Fund Holders: 223
NVIDIA Corporation (NASDAQ:NVDA) specializes in AI-driven solutions, offering platforms for data centers, self-driving cars, robotics, and cloud services. The company has made several groundbreaking revelations at the GTC Conference, underscoring its commitment to advancing AI technology across multiple sectors.
CEO Jensen Huang said that the Blackwell architecture, having the ability to significantly enhance AI model training and inference, is in full production. The company has also introduced Blackwell Ultra, an accelerated computing platform having the ability to support even larger AI models, which will be available in the second half of this year.
Next, the upcoming Rubin chips and servers, paying tribute to the astronomer Vera Rubin, will offer improved speeds, especially in data transfers between chips. The computing system is expected to outperform the company’s Blackwell architecture.
Vera Rubin is set to release in the second half of 2026, followed by the launch of Vera Rubin Ultra in 2027. This system will be succeeded by the Feynman architecture, scheduled for release in 2028.
The company has also announced new DGX AI computers, powered by its Blackwell Ultra chips. These are designed to assist developers in inferencing large models.
In addition, new silicon photonics networking chips have also been introduced, enabling AI factories to connect millions of GPUs across various sites and reducing energy consumption. The Quantum-X Photonics chips are anticipated to be available later this year. This will be followed by the launch of Spectrum-X chips in 2026.
Nvidia has also announced a major release of new NVIDIA Cosmos™ world foundation models (WFMs), which are built to power world model training and accelerate physical AI development for autonomous vehicles (AVs) and robots.
It is also launching is also two new blueprints — powered by the NVIDIA Omniverse™ and Cosmos platforms. These blueprints will provide developers with massive, controllable synthetic data generation engines for post-training robots and autonomous vehicles.
Huang has also publicized the open Llama Nemotron family of models with reasoning capabilities. The family of models has been designed to provide developers and enterprises with a business-ready foundation for creating advanced AI agents.
Meanwhile, NVIDIA Dynamo has also been introduced, which is an open-source inference software for accelerating and scaling AI reasoning models in AI factories, and that too, at the lowest cost and with the highest efficiency.
Huang also introduced NVIDIA Halos, a comprehensive safety system integrating NVIDIA’s lineup of automotive hardware and software safety solutions with its cutting-edge AI research in AV safety.
In the humanoid robots’ sphere, NVIDIA Isaac GR00T N1 is now available, known to be the world’s first open, fully customizable foundation model for generalized humanoid reasoning and skills.
These announcements are setting the standard in each sector for AI-driven innovation.
Overall, NVDA ranks 5th on our list of AI stocks that are on Wall Street’s radar today. While we acknowledge the potential of NVDA as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than NVDA but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.
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Disclosure: None. This article is originally published at Insider Monkey.
